Tuesday, December 3, 2024 - 11:00 to 12:00
Vincent Liu, Postdoctoral Research and Teaching Fellow, UBC Master of Data Science
ESB 4192 / Zoom
To join this seminar virtually: Please request Zoom connection details from ea [at] stat.ubc.ca.
Abstract: In this talk, I will introduce PrairieLearn, an open-source platform designed for creating assessments with powerful randomization and autograding features. I will highlight why PrairieLearn is an ideal choice for courses in computer science, data science, and statistics. Additionally, I will demonstrate our tools for migrating questions from Canvas, building question banks, and generating test files for coding questions—offering practical advice for transitioning to PrairieLearn. Finally, I will provide a brief tutorial on creating assessments and questions using R or Python.